Now showing items 1385-1404 of 2127

    • Multicast at Edge: An Edge Network Architecture for Service-Less Crowdsourced Live Video Multicast 

      Zahoor K.; Bilal K.; Erbad A.; Mohamed A.; Guizani M. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Using smartphones, tablets, and other portable/handheld devices, we have become more reliant on the video streaming services for entertainment and remote work. Mobile data traffic has grown eighteen folds over the past ...
    • Multidata-Owner Searchable Encryption Scheme over Medical Cloud Data with Efficient Access Control 

      Abdelfattah, Sherif; Baza, Mohamed; Mahmoud, Mohamed M.E.A.; Fouda, Mostafa M.; Abualsaud, Khalid A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      Several schemes have been proposed to enable cloud servers to search encrypted medical data to preserve patients' privacy. However, the existing schemes use inefficient attribute-based encryption (ABE) approaches for access ...
    • Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education 

      Verma, Anil; Singh, Aman; Lughofer, Edwin; Cheng, Xiaochun; Abualsaud, Khalid ( Springer , 2021 , Article)
      Sustainable quality education is a big challenge even for the developed countries. In response to this, education 4.0 is gradually expanding as a new era of education. This work intends to unfold some hidden parameters ...
    • Multilinear sparse decomposition for best spectral bands selection 

      Bouchech, Hamdi Jamel; Foufou, Sebti; Abidi, Mongi ( Springer Verlag , 2014 , Conference Paper)
      Optimal spectral bands selection is a primordial step in multispectral images based systems for face recognition. In this context, we select the best spectral bands using a multilinear sparse decomposition based approach. ...
    • Multimodal deep learning approach for Joint EEG-EMG Data compression and classification 

      Ben Said A.; Mohamed A.; Elfouly T.; Harras K.; Wang Z.J. ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      In this paper, we present a joint compression and classification approach of EEG and EMG signals using a deep learning approach. Specifically, we build our system based on the deep autoencoder architecture which is designed ...
    • A multiple-kernel clustering based intrusion detection scheme for 5G and IoT networks 

      Hu, Ning; Tian, Zhihong; Lu, Hui; Du, Xiaojiang; Guizani, Mohsen ( Springer Science and Business Media Deutschland GmbH , 2021 , Article)
      The 5G network provides higher bandwidth and lower latency for edge IoT devices to access the core business network. But at the same time, it also expands the attack surface of the core network, which makes the enterprise ...
    • Multispectral biopsy image based colorectal tumor grader 

      Kunhoth S.; Al-Maadeed, Somaya ( Springer Verlag , 2017 , Conference Paper)
      Automated tumor cell grading systems have an immense potential in improving the speed and accuracy of cancer diagnostic procedures. It can boost the confidence level of pathologists who perform the manual assessment of ...
    • Multispectral image denoising using optimized vector NLM filter 

      Said, Ahmed Ben; Foufou, Sebti ( Springer Verlag , 2016 , Conference Paper)
      In this paper, we present a Stein's Unbiased Risk Estimator (SURE) approach for Non-Local Mean filter to denoise multispectral images. We extend this filter to the vector case in order to take advantage from the additional ...
    • Multispectral image denoising with optimized vector non-local mean filter 

      Ben Said, Ahmed; Hadjidj, Rachid; Melkemi, Kamal Eddine; Foufou, Sebti ( Elsevier Inc. , 2016 , Article)
      Nowadays, many applications rely on images of high quality to ensure good performance in conducting their tasks. However, noise goes against this objective as it is an unavoidable issue in most applications. Therefore, it ...
    • Multispectral imaging and machine learning for automated cancer diagnosis 

      Al Maadeed, Somaya; Kunhoth, Suchithra; Bouridane, Ahmed; Peyret, Remy ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Advancing technologies in the current era paved a lot to break the hurdles in medical diagnostic field. When cancer turned out to be the most common and dangerous disease of the age, novel diagnostic methodologies were ...
    • Multispectral palmprint recognition based on local binary pattern histogram fourier features and gabor filter 

      El-Tarhouni, Wafa; Boubchir, Larbi; Al-Maadeed, Noor; Elbendak, Mosa; Bouridane, Ahmed ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Fusing multiple features within one biometric modality has attracted increasing attention and interest among researchers during recent decades because the concept is useful in addressing a wide range of real world problems. ...
    • Multiview topological data analysis for crowdsourced service supply-demand gap prediction 

      Said, Ahmed Ben; Erradi, Abdelkarim ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      The widespread of smart devices equipped with high sensing capabilities opened the door to the new paradigm of mobile crowdsourcing. This paradigm relies on the crowd contribution and participation to collect data and ...
    • Named Entity Disambiguation using Hierarchical Text Categorization 

      Hassaine, Abdelaali; Al Otaibi, Jameela; Jaoua, Ali ( Hamad bin Khalifa University Press (HBKU Press) , 2016 , Conference Paper)
      Named entity extraction is an important step in natural language processing. It aims at finding the entities which are present in text such as organizations, places or persons. Named entities extraction is of a paramount ...
    • Natural fault tolerance in the context of a goal oriented software design 

      Ibrahim, S. K.; Boulifa, B.; Elloumi, S.; Jaoua, A.; Saleh, M. S.; ... more authors (2013 , Conference Paper)
      A particular goal oriented software design is proposed in this paper: by checking the preservation of critical information, an original proposed program structure has the important property to naturally recover transient ...
    • Navigation and Obstacle Avoidance System in Unknown Environment 

      Singh J.; Dhuheir M.; Refaey A.; Erbad A.; Mohamed A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Recently, drones have been used in many different applications such as search and rescue operations, extinguishing fires, and environment mapping. As the number of moving drones increases in the sky, the collisions risk ...
    • Neighbourhood oriented TDMA scheme for the internet of things-enabled remote sensing 

      Khan, Mushtaq; Shah, Nadir; Khan, Rahim; Wasif Nisar, Muhammad; Khan, Mukhtaj; ... more authors ( Taylor and Francis Ltd. , 2023 , Article)
      Throughout the world, Internet of Things (IoT) have been used in different application areas to assist human beings in numerous activities such as smart buildings and cities via remote sensing-enabled techniques. However, ...
    • Network association with dynamic pricing over D2D-enabled heterogeneous networks 

      Awad, Alaa; Mohamed, Amr; Chiasserini, Carla-Fabiana; Elfouly, Tarek ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      The growing trend of networks densification has motivated integrating the Device-to-Device (D2D) communication with the dense heterogeneous networks in order to face the intense demand of high data rates and enhance network ...
    • Network function virtualization scheduling with transmission delay optimization 

      Qu, Long; Assi, Chadi; Shaban, Khaled ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      To accelerate the implementation of network functions/middle boxes and reduce the deployment cost, recently the concept of Network Function Virtualization (NFV) has emerged and became a topic of much interest attracting ...
    • Network Slicing for 5G: Challenges and Opportunities 

      Li, Xin; Samaka, Mohammed; Chan, H. Anthony; Bhamare, Deval; Gupta, Lav; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)
      Network slicing for 5G provides Network-as-a-Service (NaaS) for different use cases, allowing network operators to build multiple virtual networks on a shared infrastructure. With network slicing, service providers can ...
    • Neural network conditional random fields for self-paced brain computer interfaces 

      Bashashati, Hossein; Ward, Rabab K.; Bashashati, Ali; Mohamed, Amr ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      The task of classifying EEG signals for self-paced Brain Computer Interface (BCI) applications is extremely challenging. This difficulty in classification of self-paced data stems from the fact that the system has no clue ...